Affiliate Fraud Detection

作者 mbfinottiba2db8acbec9MIT1 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫3 週前更新

Build the detection rule set an affiliate program manager uses to flag fraudulent affiliate activity, plus the investigation and escalation path behind it - cookie stuffing, fake lead and form-fill fraud, self-referral rings, traffic-quality baselines, commission holds and clawbacks, and separating real fraud from legitimate low-incrementality coupon or cashback partners. Covers B2B SaaS lead-gen and B2C ecommerce programs. Use whenever the user mentions affiliate fraud, suspicious affiliate traffic, invalid clicks or leads, bot traffic, or an affiliate whose numbers look too good, even if they never say fraud. Do NOT use for consumer refer-a-friend gaming - use mbfinotti/partnerships-skills@referral-abuse-guardrails instead.

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路徑大小類型
evals/evals.json37.6 KBapplication/json
references/detection-signals.md10 KBtext/markdown
references/false-positives-and-incrementality.md7.2 KBtext/markdown
references/fraud-taxonomy.md5.8 KBtext/markdown
references/investigation-and-enforcement.md5.9 KBtext/markdown
references/worked-examples.md8 KBtext/markdown
SKILL.md19.9 KBtext/markdown

來源與署名

來源:mbfinotti/partnerships-skills位於skills/affiliate-fraud-detection提交ba2db8a

授權條款: MIT

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